The Digital Press

The commentary discusses the limitations of large language models (LLMs) in making reliable judgments, especially in critical or evaluative tasks, emphasizing the need for human oversight.

Why it matters: LLMs currently cannot fully replace human judgment and should assist by flagging decisions for human review.

The big picture: Human judges are also imperfect, so comparing LLM reliability should be relative, not absolute.

The stakes: Overreliance on LLMs without human validation risks flawed or biased decisions in important contexts.

Commenters say: Many agree LLMs struggle with evaluation and support human-in-the-loop approaches, while some critique the hype around prompt engineering.